Evidence map›Paper›PMID 39512412›Full record

ArticleAdvanced biomedical research2024

The Prevalence of PD-L1 Expression in Triple-Negative Breast Cancer Patients and Its Correlation with Survival Rates and Other Prognostic Factors: A Survival Analysis.

Arefeh Izadi, Azar Naimi, Elham Amjadi, Dorsa Beheshtiparvar, Maryam Soltan

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In one paragraph

Article in Advanced biomedical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Arefeh IzadiSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Azar NaimiDepartment of Pathology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Elham AmjadiPoursina Hakim Digestive Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Dorsa BeheshtiparvarSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam SoltanDepartment of Pathology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Triple-negative breast cancer (TNBC) is a leading cause of cancer-related mortality among women, with a poor prognosis. The programmed cell death 1 (PD-1) pathway has emerged as a potential immunotherapy target. This study aimed to assess PD-L1 expression in TNBC patients and its relationship with prognostic variables. Materials and Methods: This cross-sectional study included 107 TNBC patients recruited between 2016 and 2020. Patient age, tumor grade, and Ki67 expression were obtained from pathology reports. Immunohistochemistry was utilized to determine PD-L1 status, and 2-year survival data were collected through telephone follow-up. Results: PD-L1 expression frequency in TNBC patients was 76.6%. Grade 3 was the most common cancer grade, significantly more prevalent in the PD-L1 positive group ( Conclusion: This study investigated PD-L1 expression prevalence in TNBC patients and its correlation with prognostic variables. PD-L1 expression was associated with higher tumor grade and elevated Ki67 expression, indicating a potential role in tumor aggressiveness. However, despite these associations, PD-L1 expression did not significantly impact the 2-year survival rate in TNBC patients. These results emphasize the complexity of the immune microenvironment in TNBC and the necessity for further research to elucidate the precise role of PD-L1 in disease progression and patient outcomes.

Indexed as

Breast cancerPD-L1prognostic variablestriple-negative breast cancertumor-infiltrating lymphocytes

Identifiers

PMID39512412
PMCPMC11542687

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.